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LINGUIST List 21.117

Fri Jan 08 2010

Books: Computational Ling: Gries

Editor for this issue: Hannah Morales <hannahlinguistlist.org>


Links to the websites of all LINGUIST's supporting publishers are available at the end of this issue.
Directory
        1.    Julia Ulrich, Statistics for Linguistics with R: Gries

Message 1: Statistics for Linguistics with R: Gries
Date: 23-Dec-2009
From: Julia Ulrich <julia.ulrichdegruyter.com>
Subject: Statistics for Linguistics with R: Gries
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Title: Statistics for Linguistics with R
Subtitle: A Practical Introduction
Series Title: Trends in Linguistics. Studies and Monographs [TiLSM] 208
Published: 2009
Publisher: De Gruyter Mouton
                http://www.degruyter.com/mouton

Book URL: http://www.degruyter.de/cont/fb/sk/detailEn.cfm?id=IS-9783110205640-1

Author: Stefan T. Gries
Electronic: ISBN: 9783110216042 Pages: 335 Price: ---- Comment: Price upon request.
Hardback: ISBN: 9783110205640 Pages: 335 Price: Europe EURO 98.00
Abstract:

This book is an introduction to statistics for linguists using the open
source software R. It is aimed at students and instructors/professors with
little or no statistical background and is written in a non-technical and
reader-friendly/accessible style.

It first introduces in detail the overall logic underlying quantitative
studies: exploration, hypothesis formulation and operationalization, and
the notion and meaning of significance tests. It then introduces some
basics of the software R relevant to statistical data analysis. A chapter
on descriptive statistics explains how summary statistics for frequencies,
averages, and correlations are generated with R and how they are
graphically represented best. A chapter on analytical statistics explains
how statistical tests are performed in R on the basis of many different
linguistic case studies: For nearly every single example, it is explained
what the structure of the test looks like, how hypotheses are formulated,
explored, and tested for statistical significance, how the results are
graphically represented, and how one would summarize them in a
paper/article. A chapter on selected multifactorial methods introduces how
more complex research designs can be studied: methods for the study of
multifactorial frequency data, correlations, tests for means, and binary
response data are discussed and exemplified step-by-step. Also, the
exploratory approach of hierarchical cluster analysis is illustrated in detail.

The book comes with many exercises, boxes with short think breaks and
warnings, recommendations for further study, and answer keys as well as a
statistics for linguists newsgroup on the companion website.

The volume is aimed at beginners on every level of linguistic education:
undergraduate students, graduate students, and instructors/professors and
can be used in any research methods and statistics class for linguists. It
presupposes no quantitative/statistical knowledge whatsoever and, unlike
most competing books, begins at step 1 for every method and explains
everything explicitly.

Linguistic Field(s): Computational Linguistics
                            Discipline of Linguistics

Written In: English (eng )

See this book announcement on our website:
http://linguistlist.org/get-book.html?BookID=45346


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-------------- Major Supporters --------------
Cascadilla Press http://www.cascadilla.com/
De Gruyter Mouton http://www.degruyter.com/mouton
Edinburgh University Press http://www.eup.ed.ac.uk/
Georgetown University Press http://www.press.georgetown.edu
John Benjamins http://www.benjamins.com/
Oxford University Press http://www.oup.com/us
Routledge (Taylor and Francis) http://www.routledge.com/
University of Toronto Press http://www.utpjournals.com/

------------- Other Supporting Publishers -------------
Linguistic Association of Finland http://www.ling.helsinki.fi/sky/
St. Jerome Publishing Ltd http://www.stjerome.co.uk




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